WHAT YOU WILL DO

• Development, implementation and optimization of data platforms for scalable and secure data flows
• Develop and maintain data pipelines and applications using AWS Native Tech and standard ETL solutions
• Design efficient data models and ensure smooth integration of diverse data sources
• Implement robust data quality checks and help automate ETL processes
• Monitor data workflows and resolve issues as part of a DevOps-focused approach
• Support the shift/Migration from a traditional data warehouse to a modern
• Lakehouse architecture
• Contribute to continuous improvement of data operations and best practices

WHO YOU ARE

• At least 3 years of experience in Data Engineering, preferably with a focus on AWS as Platform
• Proficiency in SQL, Python and experience with ETL/ ELT processes and data modelling techniques (e.g. Data Vault, Kimball)
• Practical experience with tools such as Databricks, DBT, Airflow, PowerBl, or similar platforms
• Good programming skills in Python, Spark SQL, PySpark
• Practical Experience with AWS services such as EC2, S3, RDS, Lambda, Glue, and etc.
• Knowledge of containerization technologies such as Docker and Kubernetes
• Experience implementing ETL/streaming pipelines and/ or managing data lakehouses (e.g. Databricks) and warehouses (e.g. Snowflake)
• Experience in the User Tracking and analytics in e-commerce environment\

WHAT WE OFFER

• Up to 32 days of holiday, depending on the length of service, starting with 28 days

• Mobile office with up to 40% of your total contracted hours (job and position permitting)
• 10 days/year of mobile office abroad in EU-countries (job and position permitting)
• Language & e-learning courses
• Staff discount of up to 30%
• Company pension scheme
• Discounted membership for selected sports platforms & gyms
• Discounted travel card
• Access to LinkedIn Learning
• Individual support on mental health & well-being (e.g. compatibility work and family life)
• Social Day
• Employee Share Purchase Plan